Author

Jenna Eizadi

University of Wisconsin–Madison

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Adam D. VarebergiD· 2 shared Aviad HaiiD· 2 shared Alireza Ousati AshtianiiD· 1 shared Emily Masterson· 1 shared Ilhan BokiD· 1 shared Jack K. PhillipsiD· 1 shared Judy George· 1 shared Matthew M. DwyeriD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Adam D. VarebergORCID

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2 papers

Recent·Most cited

Wireless in vivo Recording of Cortical Activity by an Ion-Sensitive Field Effect Transistor

Suyash Bhatt, Emily Masterson, Tianxiang Zhu, Jenna Eizadi, Judy George, Nesya Graupe, Adam D. Vareberg, Jack K. Phillips, Ilhan Bok, Matthew M. Dwyer, Alireza Ousati Ashtiani, Aviad Hai

The paper introduces a wireless sensor for in vivo brain activity recording using an ion-sensitive field effect transistor and validates its performance in rodents.

Sensors and Actuators B Chemical · Feb 21, 2023Peer-reviewedNeuroscience

Inference of Presynaptic Connectivity from Temporally Blurry Spike Trains by Supervised Learning

Adam D. Vareberg, Jenna Eizadi, Xiaoxuan Ren, Aviad Hai

The paper introduces a supervised learning model to infer presynaptic connectivity from temporally blurry spike trains, demonstrating its effectiveness in reconstructing network connectivity under varying temporal blur conditions.

bioRxiv · Oct 20, 2022 · PreprintNeuroscience